We are building out an AI team in Toronto and are hiring Senior Machine Learning Engineers. This is a build-from-scratch effort on a modern stack, focused on putting AI into production rather than keeping it in the lab. You will work hands-on with LLMs, agentic and multi-agent systems, retrieval-based architectures, and current MLOps practices on a major cloud platform.This is an early-stage seat on a team that is just forming, so there is real room to influence how things get built and to set technical direction rather than inherit it. They want a hands-on senior engineer who prefers to stay technical rather than move into people management, someone who has shipped ML/AI systems that real users depend on and enjoys working through open-ended problems. You get the independence to make real technical calls, the right resources behind you, solid visibility and a clear path toward Lead or Principal level.Required Skills & Experience7+ years building production ML/AI systemsStrong hands-on Python and modern ML frameworks (PyTorch)Hands-on generative AI experience: LLMs, retrieval-based architectures, agentic workflowsTrack record of taking ML systems from prototype to production at scaleProduction ML engineering: MLOps, containerization (Docker, Kubernetes),



cloud (AWS or Azure), workflow orchestration (Airflow), API development (FastAPI)Solid software fundamentals: automated testing, version control, scalable architectureComfort leading through technical influence and mentorship rather than direct managementBachelor's in CS, Machine Learning, Data Science, Applied Math, or related fieldDesired Skills & ExperienceMaster's or PhDMulti-agent or agentic systems built beyond basic LLM integrationsAdvanced MLOps and cloud-native ML infrastructure at scaleExperience with unstructured dataOpen source contributions, talks, or published workEarly-stage or 0-to-1 team experienceWhat You Will Be DoingTech Breakdown40% Generative AI and Agentic Systems (LLMs, retrieval, multi-agent)30% Production ML Engineering and MLOps30% Architecture and System DesignDaily Responsibilities80% Hands On20% Team CollaborationThe OfferBonus eligibleYou Will Receive The Following BenefitsMedical, Dental, and Vision InsuranceVacation TimeCurrent Vacancy: YesUse of AI in Hiring: NoApplicants must be currently authorized to work in the Canada on a full-time basis now and in the future.Posted By: Seif Tadros #J-18808-Ljbffr

📌 Senior Machine Learning Engineer (Toronto)
🏢 Motion Recruitment
📍 Toronto